Second International Workshop on Science of Smart City Operations and Platforms Engineering (SCOPE) in partnership with Global City Teams Challenge (GCTC)

Smart and connected communities adopt an Internet of Things (IoT) framework to provide a technology-driven architecture for integration of city infrastructure and resources, and thus provide mechanisms to optimize their use and provide an efficient, informed, and equitable distribution of services. While the recent advances in computational architectures including fog computing and edge computing are promising, a number of challenges still remain. For example,

A multi-tiered interoperable architecture that can integrate applications across domains, including water management, energy, disaster resilience transportation, healthcare is a fundamental requirement. One mechanism to solve this interoperability challenge can be describing APIs using formal models that ensure that both the syntactical and semantic concepts are captured.

Interactions between privacy, security, resilience, reliability, and safety from both theoretical and operational perspectives and lightweight cyber physical virtualization technologies that ensure both cyber and physical resources can be accessed simultaneously and safely by multiple applications.

Understanding the modeling and simulation paradigms that can help test and validate the smart cities solutions in labs. For example, agent-based and equation-based modeling paradigms have been used in the past to analyze transportation networks.

Understanding the middleware and core computational design patterns required to install and manage smart closed-loop control applications linked to infrastructure across the spectrum of edge/fog/cloud.

Autonomous online collaboration and coordination that ensure cyber and physical resources of the platform are managed and arbitrated correctly and efficiently, including the runtime verification required to validate the dynamic resource allocation and usage patterns, and the distributed and interactive decision making algorithms that require a high level of coordination across decisions to make the complete system work.

Data-driven mechanisms for anomaly and fault detection at scale in smart city sensors.

Behavioral changes and social attitudes needed to make the necessary impact beyond just technological advances.

This workshop encourages submissions of previously unpublished work that addresses the challenges above and
others critical to integrating humans, physical components and computers in cyber-physical systems at smart city scale. We also invite industrial case studies from diverse set of domains illustrating the challenges caused by the adoption of these architectures in that domain.

Papers should describe original work and be maximum 6 pages in length using the IEEE paper format. Submissions can fall under one or more of the following categories: (1) initial and promising research results, (2) industrial case studies, (3) position statements with sufficient justification and rationale for the proposed idea(s). At least three workshop committee members will review all submitted papers.

We require at least one author of each accepted paper to register and present the paper at the workshop. (i.e., we will not allow no-shows). Accepted papers will be included with the CPS Week proceedings.